Article | REF: R1108 V1

Wavelet digital filtering - Fundamentals

Author: Abdeldjalil OUAHABI

Publication date: June 10, 2013

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


Français

2. Denoising or noise reduction

2.1 Problem position

The flagship applications of multi-resolution analysis have focused on three major generic themes: analysis, denoising and compression.

  • In what follows, our focus will be on filtering or denoising, which necessarily involves multi-resolution analysis in order to extract relevant information. The observed signal is analyzed using wavelets, scale by scale, in the manner of a microscope or digital zoom. The signal is then examined at different resolutions, and the resulting coefficients (of the wavelet transform) encode the information within the wavelet's field of action. These coefficients may be sufficient to "read" the relevant information, or they may need to be transformed. Some of them can be moved, rearranged...

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Healthcare technologies

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Denoising or noise reduction